Arash Vahdat
Research Director at NVIDIA
San Francisco Bay Area United States
Summary
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Rockstar🎓
Top SchoolArash Vahdat is a research director at NVIDIA with nine years of hands-on experience designing and implementing machine learning and computer vision systems for unconstrained images and video. He holds a PhD from Simon Fraser University and has progressed through technical and leadership roles at NVIDIA after research positions at D-Wave and academia, blending deep research credentials with product-oriented engineering. His expertise spans action, object, and face recognition, video retrieval and tagging, and low-level image/video representations, implemented in Python, Matlab and C/C++ with extensive OpenCV experience. Arash has a strong publication record in top-tier conferences and a track record of scaling visual-data analysis pipelines for real-world internet media. He combines rigorous academic training with practical system-building at scale, often bridging algorithmic innovation and deployable engineering.
9 years of coding experience
15 years of employment as a software developer
Bachelor of Science Computer Engineering - Information Technology, Bachelor of Science Computer Engineering - Information Technology at Sharif University of TechnologyPh.D. Computer Science - Machine Learning and Computer Vision, Ph.D. Computer Science - Machine Learning and Computer Vision at Simon Fraser University
Github Skills (8)
denoising10
variational-autoencoder10
pytorch8
progressive4
depth4
architecture2
evaluation2
reinforcement-learning1
Programming languages (3)
Github contributions (5)
arash-vahdat/arash-vahdat.github.io
Feb 2017 - Oct 2020
Contributions:31 pushes, 1 branch in 3 years 8 months
NVlabs/NVAE
Aug 2020 - Oct 2021
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
Contributions:9 commits, 5 pushes, 30 comments in 1 year 1 month
pytorchvariational-autoencoder
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